465 search results - page 40 / 93 » Active Learning for Parameter Estimation in Bayesian Network... |
SECON
2007
IEEE
14 years 3 months ago
2007
IEEE
— In wireless sensor networks, it is desirable to maintain good sensing coverage while keeping the number of active sensor nodes small to achieve long system lifetime. Existing c...
NECO
2000
13 years 8 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
WWW
2009
ACM
14 years 9 months ago
2009
ACM
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
TREC
2003
13 years 10 months ago
2003
Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers,...
UAI
2004
13 years 10 months ago
2004
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...